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Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Sensor Algorithm Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data. You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware. RESPONSIBILITIES - Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights. - Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions. - Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors. - Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics. - Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency. - Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware. - Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability. - Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement. QUALIFICATIONS - 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization. - Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management. - Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes. - Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics. - Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners. - Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: India (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a Channel Manager to develop, execute and evolve our partner go-to-market strategy in India. You will work closely with Sales, Solution Engineering, Marketing, Operations and the leadership team to align sales and go-to-market efforts with our product, technical and sales development efforts. Your key task is to deliver immediate and future partner-sourced revenue growth, working primarily with Grafana's regional Systems Integrators and Value-Added Resellers. As our first dedicated channel hire in India, you will build an emerging partner community and shape the role, the strategy and the playbook inside a rapidly growing company where partners are a core part of go-to-market. This is NOT a programmatic channel and distribution role. This IS a sales-focused channel role for someone who thrives in a fast-paced environment, is comfortable owning a partner-sourced revenue number, and can build on a fast-growing channel business. What You'll Be Doing: Develop executive-level relationships with focus partners in India Own partner opportunity identification and deal acceleration to drive revenue targets Lead the identification, activation and development of regional partners Develop partner capabilities, co-sell motions and brand awareness initiatives Establish strong executive relationships to create partnership business plans Work with leadership to manage pipeline and revenue commitments Work across Grafana Labs on message alignment, operational coordination and evangelism of the partner strategy and program What Makes You a Great Fit: 7+ years of experience in channel sales or sales (selling with partners) Experience selling SaaS (open source technology is a plus), and familiarity with BEPIC and MEDDPICC selling methodologies A demonstrated history of consistent goal achievement at high-growth startups A consultative sales approach, with the goal of keeping customer, partner and community satisfaction exceptionally high Proven experience developing a high-performing channel strategy for SaaS vendors new to the India market Bonus Points For: Running low-touch deal cycles with partners independently of the direct sales team A demonstrated ability to increase partner-sourced revenue (NACV) contribution to India's overall revenue. Compensation & Rewards: In India, the OTE (On-Target Earnings) compensation range will apply for this role.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Collaborate with internal teams to align external content with the project vision. Coordinate with internal artists and production teams to ensure smooth collaboration with external partners.

Location: United States Who We Are MEMX is a technology-driven exchange operator founded by members to benefit all investors. We operate MEMX Equities, MEMX Options, and MX2 Options, and provide market technology to clients. Our mission is to create healthy competition and advocate for market structure reform that results in more efficient and sensible trading experiences for all investors. Description MEMX is seeking a Network Engineering Intern to learn how the networks behind our U.S. equities and options exchanges are built and supported. You’ll work alongside experienced engineers on hands-on projects and gain exposure to the reliable, low-latency infrastructure that supports trading. This internship position will be offered as hybrid with 1- day in person at our Data Center in North Bergen, NJ, and 2-days in person at our co-working office in Midtown -NYC . Work Schedule The intern will be expected to work the following schedule: Monday: 1:00pm – 10:00pm ET, in person at our North Bergen Data Center Tuesday: 10:00am – 6:00pm ET, remote Wednesday: 9:00am – 5:00pm ET, in person at our co-working office in Midtown-NYC Thursday: 9:00am – 5:00pm ET, in person at our co-working office in Midtown-NYC Friday: 9:00am – 5:00pm ET, remote Hours are subject to change based on operational needs. *MEMX has currently approved ONLY the following states for remote work: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, & Utah. What You’ll Be Doing Help the team monitor network performance and investigate alerts and connectivity issues Assist with network device configuration, testing, and documentation under the guidance of experienced engineers Assist with data center activities such as racking, network and hardware, running optical fibers, etc. Contribute to projects involving network tools, automation, and infrastructure improvements Collaborate with teams across MEMX to understand how network engineering supports the exchange Requirements Current undergraduate student entering their junior or senior year, pursuing Computer Science, Information Technology, Network Engineering, or a related field Foundational understanding of networking concepts such as IP addressing, routing, and switching through coursework, projects, or personal interests Interest in troubleshooting and learning how large-scale networks operate Strong attention to detail and willingness to ask questions and learn from the team Exposure to Python, Linux, or Wireshark is a plus, but not required Ability to work in person at our Midtown Manhattan office during the summer Permanent residence in one of MEMX’s approved states for remote work during the internship What You’ll Gain Hands-on experience with the network infrastructure that supports a securities exchange Exposure to various Options and Equities exchange platforms and how network connectivity supplements these platforms Exposure to network monitoring, troubleshooting, and day-to-day operations Learn how customer connections are set up and supported Mentorship and guidance from experienced network engineers Opportunities to collaborate with technology teams across MEMX and connect with fellow interns Why MEMX At MEMX, you’ll contribute to meaningful work alongside experienced professionals while developing your skills and learning how our exchanges operate. As part of our summer internship program, you’ll also have access to: Learning opportunities: Attend Lunch & Learn sessions, professional development workshops, and relevant courses Mentorship and support: Learn from a mentor and a designated buddy who can help guide you throughout the summer An intern cohort: Connect with interns working across other MEMX teams Social events: Get to know colleagues, with opportunities to connect with members of MEMX’s C-suite Regular feedback: Check in with your manager and HR to discuss your progress, ask questions, and get support Future opportunities: All interns are considered for potential internship extensions or a full-time opportunity after graduation, based on performance and business needs Pay Rate: $30/hourly for undergraduate students Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana’s GTM organization is looking for a Director, Strategy & Planning. Reporting to our VP of Revenue Operations, you will work with a cross-functional team of stakeholders to define growth strategies, provide insights to business performance, and set the standard for data- driven decision making in GTM. Success in this role requires deep experience with consumption-based SaaS. You'll understand how customer adoption and usage translate into revenue over time, and use that understanding to guide GTM capacity, productivity, and investment decisions across Sales, SE, CX, SDR, and Partners. This is a hands-on leadership role with ownership of the planning agenda and the models behind it. What you'll be doing: Establish standard reports and tools to analyze business performance, help set operational targets, and drive planning processes with the Go-To-Market Operations team Lead annual and long-range GTM planning, aligning revenue targets with hiring plans, territory coverage, and productivity assumptions Develop revenue and capacity scenarios that account for usage variability, customer adoption, and expansion or contraction across cohorts, segments, and regions. Work with Global and Regional Sales and Services leaders to evaluate strategic opportunities and/or transformational initiatives; New market evaluation, M&A integration, vertical planning, pricing, etc. Become an expert in how our GTM data is captured, how it ties to underlying business processes, and how it impacts key metrics and reports. Identify operational gaps in our reporting capabilities and/or inefficiencies in the planning process. Work with Analytics and Business Systems teams to build scalable solutions. Help create the connective tissue across our internal stakeholders: Revenue Operations, Marketing, Finance, Data, and GTM leadership Build scalable, self-service planning processes that improve consistency and reduce manual coordination across teams. Advise GTM leadership on market segmentation, vertical performance, pricing scenarios, and territory strategy, presenting clear recommendations and tradeoffs. Partner with Finance to align consumption-based revenue scenarios with workforce budgets and financial targets, reviewing performance and recommending adjustments as usage trends change. Set priorities for the planning function and lead cross-functional initiatives with Data and Field Ops to close gaps in reporting and planning infrastructure. Identify and implement AI-assisted approaches to consumption analysis, scenario development, and recurring reporting, partnering with data to validate results and improve planning efficiency. What Makes You a Great Fit: 8+ years in GTM strategy and operations, sales planning, revenue operations, consulting, or a related analytical field, including experience leading a planning function or major cross-functional programs. Demonstrated track record of strategic thinking and analysis--seeing over the horizon to identify opportunities, envision models, and strategic paths to capture opportunities, as well as spot emerging risks Strong modeling and analytical skills – comfort with complex segmentation analysis and workforce planning Excellent communication skills with executive audiences - explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis Experience owning GTM planning through significant ARR and headcount growth at a SaaS company of comparable scale and complexity, including evolving capacity models, coverage strategies, and planning processes as the organization expands. Experience in a Sales or GTM organization, and familiarity with common sales methodologies (MEDDPICC or MEDDIC) and models ( rep productivity, rep capacity, campaign influence, and quota modeling) High comfort with ambiguity. You identify the right priorities and put in the hard work without need for external motivation You think critically and creatively, continually reorienting to obstacles to define a better way to achieve our goals. Bonus Points For: Previous experience in open source Experience with Grafana, Tableau or other analysis/BI tools. Familiarity with Salesforce CPQ, Zuora, or other CPQ / Q2C / subscription management tools. Familiarity with marketing automation (Marketo) or sales productivity tools (Outreach, Clari, People.ai). Familiarity with SQL or similar database querying language (you won’t be deep in SQL, but helps to have heard of a LEFT JOIN). Experience applying generative AI, predictive analytics, or AI-enabled automation to improve GTM planning, forecasting, and reporting, with sound judgment in validating outputs and underlying assumptions. Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $ 230,000 - $275 ,000 Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. Relocation assistance may be available for qualified candidates. About the Role We are seeking a Digital Payload Principal Systems Engineer to provide technical leadership in the architecture, design, and delivery of next-generation digital satellite payloads. In this role, you will lead end-to-end systems engineering activities, define payload architectures, drive technical trade studies, and oversee system verification throughout the program lifecycle. The ideal candidate has extensive experience in satellite communications, digital payload systems, and LEO/MEO constellation architectures, with a proven ability to lead multidisciplinary engineering teams on complex aerospace programs. Key Responsibilities Lead the end-to-end architecture and design of advanced digital satellite payloads. Define system requirements, conduct trade studies, and perform capacity analysis. Support program execution, technical planning, and proposal development. Collaborate with customers and cross-functional engineering teams to deliver mission-critical solutions. Lead and participate in system design reviews throughout the full program lifecycle. Define requirements for key payload subsystems, including: Onboard digital processing Phased-array antennas Feeder links Optical Inter-Satellite Links (ISLs) Oversee system integration, test planning, verification, and validation activities. Provide technical leadership and mentorship to engineering teams. Required Qualifications Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Physics , or a related field. 15+ years of experience in satellite payload or communications systems engineering. Strong background in LEO/MEO constellation architecture and digital payload systems . Experience leading multidisciplinary engineering teams and complex technical programs. Strong knowledge of: Digital communications Digital signal processing (DSP) Software Defined Radio (SDR) Phased-array antenna systems Networking technologies Familiarity with simulation tools, space environments, and orbital mechanics. Excellent communication, collaboration, and technical leadership skills. Preferred Qualifications Experience with 5G Non-Terrestrial Networks (5G NTN) . French language proficiency is an asset. Experience leading end-to-end satellite payload development programs. Strong background in system architecture, verification, and mission planning for commercial or government satellite systems.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance. WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device. RESPONSIBILITIES: - Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation - Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints - Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures - Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems - Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products - Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power QUALIFICATIONS: - BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience - Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data - Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation - Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces - Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition - Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods - Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Al Hofuf, Saudi Arabia; Dhahran, Saudi Arabia We are seeking a highly motivated and professional fresh graduate to join our team as a Telecommunications Engineer. In this role, you will support the design, integration, and execution of critical communication systems for major Oil and Gas facilities in Jafurah. Working closely with multidisciplinary teams, you will apply your foundational engineering knowledge to real-world industrial challenges, supporting projects from Front-End Engineering Design (FEED) through to final execution. Key Responsibilities Project Execution: Support project phases from FEED through execution, ensuring telecommunication engineering requirements are safely and accurately met. System Integration: Assist in the design and reliable integration of vital telecom systems, including fiber optics, wireless networks, and industrial control systems. Cross-Functional Collaboration: Coordinate with multidisciplinary teams to ensure telecommunication systems align with overall facility operations and project goals. Technical Application: Apply core telecommunication engineering principles to optimize network design, signal transmission, and communication protocols. Requirements Education: Bachelor of Science (BS) in Telecommunication Engineering. Experience Status: Fresh Graduate (Must be currently unemployed and available for immediate placement). Professionalism: Demonstrates a highly professional personality, strong work ethic, and readiness to adapt to a fast-paced industrial environment. Industry Exposure: Academic, project, or internship experience related to the design of communication systems specifically for Oil and Gas facilities. Core Competencies: Strong understanding of telecommunication engineering principles, including network design, signal transmission, and communication protocols. Certifications: Project Management Professional (PMP) certification is a strong plus. Soft Skills: Excellent communication, analytical problem-solving abilities, and teamwork skills.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: We're looking for a Regional Sales Director, Acquisition, who will be responsible for leading a team of Commercial Account Executives. As the RSD you will be asked to drive revenue growth, retain and attract new talent, and grow your customer base within your assigned territory. You will be recognized as a sales leader throughout the company – setting the tone and pace for your specified region. We are looking for an entrepreneurial sales leader - someone who thrives in a fast-paced, ever-evolving environment. You’ll spend your time developing and executing sales strategies, mentoring your team, and strategically partnering with groups across the organization. You will guide your team through a consultative sales approach where you will learn about your prospect’s needs and then dive into the potential fit. Your expertise will be critical in helping articulate the value of our products and building strong relationships between the prospect and the Grafana sales team. Ideally, you come from a technical background and have sold visualization, application performance management, or cloud-based tooling before. If you have worked with open-source software before, that’s even better. This is a critical hire for the company and you’ll be working closely with the rest of the GTM leadership team. We are looking for someone who wants to sign up for that challenge and build something great. What You’ll Be Doing: Develop and mentor your sales team Develop a pipeline to help over-achieve revenue targets Direct sales activities by establishing sales territories, quotas, and goals Build and maintain an annual sales plan (goals) in support of our organizational strategy and objectives Meet with prospects and strategize with sales representatives to help close deals Help the team prepare for QBRs and HBRs Develop long-term, strategic relationships with key contacts within their account base Strategically partner with Marketing, Solution Engineers, R&D, Customer Support and other functional teams What Makes You a Great Fit: Minimum 3 years of leading successful sales teams Minimum 8 years of successful direct sales experience Experience navigating complex sales cycles that can last 2-6 months Excellent communication (written, oral) and presentation skills (in-person, virtual) Comfort working closely and building relationships with C-Level executives Consistent track record in shaping strategic seven-figure deals MEDDPICC expertise Experience working with ROI and cost modeling to educate and assist potential buyers Excellent organizational, prioritization, and time management skills Unwavering dedication to integrity and professionalism Bonus Points For: Background in technical applications, familiarity with OSS is a big plus Compensation & Rewards: In the USA, the OTE (On-Target Earnings)/Base compensation range for this role is $310,000-$360,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Network Deployment and Maintenance Lead within Anthropic's Data Center Operations (DCO) organization, you will ensure the network inside our data halls is brought online and kept healthy across a growing fleet of partner-operated data centers. The scope is the network within and between data halls: the cluster network, management, telemetry, accelerator chip back-end networks, aggregation layer(s), as well as the cabling, optics, and switching around them. On the deployment side, you are engaged during planning and construction, and will be on site during late-stage construction through network delivery and receiving, cabling, integration, turn-up, validation, and acceptance. You will be the on site lead for structured handover of network delivery into production operations. On the maintenance side, you drive the network repair program including: break-fix and ticket flow, vendor RMA, sparing policies, and the SLAs which operations partners execute against. Finally, some of this work touches core networks, where you will partner with Anthropics WAN/Core network team to support campus/DC core network deployment and maintenance activities. This is a program and execution role. You will work with the Global Capacity Delivery Program Leads, the Repairs Program Leads, and the broader Data Center Operations organization to extend network coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on the floor at each site during network delivery, turn-up, QA, and close-out, and at sites where repair performance needs attention. Your authority comes from being on site where you foster strong relationships with on site teams. Working with third party vendors and partners, you set direction, priorities, and standards for execution. Success is defined against Anthropic-owned ticket and telemetry data you’ve built rather than self-reported status. If you have deployed and maintained data center networks at scale, are passionate about hyperscale data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Own network deployment outcomes for your assigned sites and data-hall waves: DCN, management, telemetry, Accelerator chip back-end networks, aggregation layer(s) turned up and accepted on schedule, with exceptions closed out, or risk called early enough for leadership to act. Engage from construction kickoff and confirm network readiness ahead of each wave: pathways and fiber trays, cabling and optics on hand, receiving paths, and partner staffing, working the gaps with the site operations partner and facilities counterparts before gear arrives. Be on site at key points during network delivery, cabling, turn-up, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. Validate the handover gate for each network build: cabling and link validation complete, acceptance criteria met, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the repair program. Own the network repair program across the fleet: repair SLAs, prioritization, and escalation paths for switches, optics, and cabling, with turnaround time and backlog tracked in Anthropic-owned ticket and telemetry dashboards. Manage RMA and spares for network gear with vendors and site operations partners, including warranty claims, return cycle times, and spares levels by site and part, so that parts availability never gates a repair SLA. Lead the operating cadence with partner site leads, including weekly deployment and repair reviews and scorecards; analyze failure patterns and drive corrective actions with network engineering, suppliers, and the WAN/Core teams when the core network/MMR is involved. Turn lessons from each deployment and repair into program standards (procedures, checklists, acceptance criteria, and metrics), and communicate status, dependencies, and risk to engineering, capacity planning, and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations or network deployment as a manager, technical lead or related role, including accountability for delivery milestones and production availability. Can demonstrate a proven track record leading data center network deployments at a large scale across multiple sites or data-hall waves, from early floor access through turn-up and acceptance. Have run break-fix or repair programs for network hardware, including ticket flow, RMA, and spares, and managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, SLAs, quality gates, operational reviews, and corrective action. Possess hands-on technical depth in data center networking, including switches, structured cabling, fiber, and optics, enough to independently verify turn-up and repair quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with schedule, ticket, telemetry, and inventory data to drive decisions. Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% travel expected. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with dense accelerator networks, including high-speed interconnect, optics, and cabling at rack and pod scale. Experience standing up network operations at a new site or data hall, from commissioning handoff through first turn-up. Experience managing RMA and warranty programs with network OEMs, including failure analysis and supplier quality engagement. Experience delivering deployment and repair outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with meet-me room and WAN bring-up, and with the handoffs between in-hall and building-level network teams. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Repairs Lead within the Data Center Infrastructure organization, you will define and manage the end-to-end hardware repair program across Anthropic's growing fleet of data centers. You will be accountable for repair turnaround time and the compute returned to service across every site, covering server, GPU/accelerator, network, and optics break-fix, RMA and reverse logistics with OEMs and ODMs, and the spares and repair inventory that keeps repair SLAs achievable. As a subject matter expert in hardware operations, you will develop scalable repair processes and quality targets, set the standards that site operations partners and repair vendors execute against, and turn failure trends into fixes which are driven upstream with engineering and equipment partners. If you are experienced in at-scale datacenter hardware operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Define the global repair strategy including repair SLAs, prioritization rules, escalation paths, and reporting methods, and drive standardization across all sites. Own repair turnaround time and repair backlog across the fleet evidenced by Anthropic-owned ticket and telemetry dashboards you help develop. Author and improve procedures for triage, break-fix, return-to-service validation, and train site operations partners on how to execute them. Manage RMA and reverse logistics programs with OEMs, ODMs, and depot repair vendors, including warranty claims, return cycle times, and failure analysis feedback. Set spares pool sizing and stocking levels by site and part, in coordination with supply chain and asset management, so that parts availability never gates repair SLAs. Analyze failure patterns across sites to identify root causes and drive corrective actions with hardware engineering, suppliers, and site operations owners. Lead the operating cadence with vendor and site leads, including weekly repair reviews, scorecards, and business reviews, and drive corrective actions for SLA excursions. Communicate repair constraints, risks, and fleet availability impact to engineering and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations as a manager, technical lead or related role, including accountability for production availability. Can demonstrate a proven track record running break-fix programs at a large scale across multiple sites. Have managed vendors, OEMs, or contract workforces to measurable outcomes: SLAs, operational reviews, and corrective action. Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify repair quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with ticket, telemetry, and inventory data to drive decisions. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including tray, cold plate, and manifold-level repair. Experience managing RMA and warranty programs with hyperscale OEMs/ODMs, including failure analysis and supplier quality engagement. Experience with spares planning, reverse logistics, or depot repair at data center scale. Experience delivering repair outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with optics and high-speed interconnect failures. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Switzerland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: As a Sales Development Representative (SDR), you will focus on three core missions.  One, you will help our users and prospects navigate their Grafana journey by engaging with and listening to them in order to provide them with appropriate resources and guidance.  Two, with these learnings, you will partner with our Sales Team to connect with other influential people in these organizations to identify new business opportunities that are the pipeline for our company’s revenue goals by partnering proactively with our Sales Team. And three, you will develop valuable, transferable skills to help you achieve your career goals.  By fulfilling our three core  missions, you will contribute importantly to Grafana Labs’ community and business goals. We understand that our commercial success is linked to our open source DNA and users’ success with our software.  As such, we want team members who can effectively leverage this connection and help support the long-term health of our company. In this role, you will balance reactive and proactive work, responding to inbound inquiries as well as outreaching to target accounts. You will need to research and have a detective mindset in order to craft thoughtful, value-add messaging; and you’ll need to be confident driving business conversations on the phone.  You will need to know how to use AI as a tool to constantly improve your productivity. This is a demanding and rewarding role.   It is a fast-paced and challenging environment.  While our company is growing sustainably,  we still have a lot of building and improving to do.  And we do this work together with our teammates from more than 15 different countries.  We're looking for driven, humble, technically curious  people who embrace a team-first attitude and demonstrate extreme ownership.   This is a great team to join, whether you’re just starting your career or looking to pivot into the tech industry.  You’ll have managers and teammates that care deeply about you as a professional and human, and you will learn more than you thought possible. What You’ll Be Doing: Build and maintain knowledge of our technology, competitors, open source ecosystem, and industry trends Follow up on inbound leads effectively and efficiently Use a multi-channel approach (email, social, calling) to proactively outreach to new leads within target accounts; our top SDRs are confident and effective on the phone Use Salesforce and Grafana dashboards for lead and account management and research Use research and data to prioritize and customize outreach to target prospects and accounts via email and LinkedIn Drive effective discovery conversations to understand users’ needs and goals in to provide them the appropriate resources and communicate how Grafana can help them Consistently meet new business opportunity and pipeline targets Collaborate with cross-functional teams such as marketing and sales to win as a team What Makes You a Great Fit: Fluent in German and English (written and spoken) Open to feedback and coaching, always looking for ways to improve Clear and concise written and verbal communication style Excellent organizational skills and the ability to prioritize many tasks and demands Willingness and ability to take on any task - no matter how small or big - with a focus on quality Resourceful and proactive in an environment that is constantly evolving Driven by purpose and by winning with a team-first attitude Located in Switzerland Bonus Points For: Let’s be honest - interviewing is not easy. However, we want you to come prepared and succeed. When we interview, we’re trying to determine a couple of things: Would you be successful if you were part of our team? Will you love working here and be a positive influence on your fellow colleagues? Will you grow professionally and personally during your time here? We’re looking for people who are curious and passionate about technology, so make sure you invest some time in learning about Grafana Labs. Explore our community, the industry we operate in, what we offer, and how we set ourselves apart. During your interview, you’ll be sharing stories about your current and past roles and experiences. The best way to frame this is with the CARR model: Context, Action, Results, Reflection. This allows you to succinctly share the experiences you’ve gained. Remember, humility drives learning and we love working with people who are always trying to better themselves. Throughout our interview process, you will receive feedback, and usually directly in the interview. As you move through the interview process, make sure you listen to the feedback you receive and figure out how to incorporate the advice in the next step of the interview. Compensation & Rewards In Switzerland, the OTE (On-Target Earnings) compensation range for this role is 88,600 CHF -  91,760 CHF. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for an Enterprise Account Executive, Growth based in Spain who will be responsible for prospecting and growing existing business across the Middle East, Türkiye and Africa region . You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products. What You’ll Be Doing Identify new opportunities to expand Grafana usage within a set of current customers Meet and exceed individual quarterly and annual sales goals Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 5+ Years of experience in infrastructure technology sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Experience selling to the Middle East region Fluent in English & Arabic Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Reward In Spain, the OTE compensation range for this role is EUR 170,000 - EUR 211,250 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Paris, France; Bordeaux, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ OPERATIONS AT ALAN The Operations Community’s core responsibilities is to deliver at scale our insurance and health services : we build our platform and operational capabilities and run our processes to guarantee delight and efficiency. As we anchor our Insurance position, diversify our offering with health and well-being related services in 4 different countries (France, Belgium, Spain and Canada), our operations are increasingly complex and our challenges ahead have never been as exciting! Being an Ops at Alan means joining a team of 50+ talented, committed and passionate Ops across our countries, with a lot of interactions with Engineering, Product, Care and many other teams at Alan. We have a mix of Builder profiles, focused on (re)designing and implementing our processes and Operations Experts who deliver those on a daily basis while improving them. We want team members to deliver excellence to our companies and members and be ready to disrupt (and not only upgrade) the way we traditionally think about insurance or healthcare services. Want to learn more about Ops at Alan? Read how we work and hire https://app.notion.com/p/alaninsurance/Product-Ops-builders-and-coordinators-Alan-your-hiring-process-3021426e8be7815cb164d629cfe3b455 and watch our team in action https://www.youtube.com/playlist?list=PL643LyZcrKMDaW7cW0_GytXy5VkaqTOU6   🌍 FOR THIS ROLE, YOU NEED TO BE BASED IN FRANCE, BELGIUM OR SPAIN 🌍 The Operations Expert works on a specific subset of services we deliver (eg. claim reimbursement, fraud, clinic to name a few) . Their core responsibilities (+- 70/80% of the time) are to: - Run our Insurance or Health services processes - that's why we call them Ops Runners internally 😉 - Ensure the day-to-day follow up and monitoring of our operations - Flag risks and opportunities In details, your missions are: - Operating our processes: performing tasks like invoicing or claims treatment, growing and managing our network of providers, supporting internal teams (live and through documentation) - Contributing to the definition & owning the best monitoring scheme to track volumes/efficiency/SLAs, and identify risks and areas of improvement, internally or with our service providers - Supervising partnerships (e.g. teleconsultation, claim operators), participating in the negotiation rounds, daily communication to ensure business continuity - Performing controls on our daily operations to make sure the correct decisions were made and to identify training needs (internally as well as externally) - Escalating feedback, helping to prioritise and supporting initiatives to make our processes and services more delightful and efficient Next to running and monitoring our operations, you implement continuous improvements to our processes (+-20/30% of the time). This can be in a variety of ways, e.g. working with product teams to automate certain processes, enhancing our external communication, auditing our processes, automating some process steps using automation tools, … ⭐️ OUR RUN ORGANISATION ⭐️ Our Operations Experts are organized in pools (3-7 runners) who are collectively responsible for running their scope. Examples of topics are: Alan therapy: members can book a therapy session with psychologists. You maintain smooth relationships with our psychologists, ensure therapy demand  matches the supply and contribute to several steps of their lifecycle at Alan (hiring, onboarding, invoicing, supporting booking management etc). Claims: We provide a best-in-class claims experience, including our own optic care service. You treat claims and assist in decisions regarding our coverage. Additionally, you monitor the performance of external service providers to meet SLAs & perform quality controls. You ensure glasses get delivered on time, member satisfaction is high, our frame collection is attractive, collaboration with opticians is smooth and efficient, …. Fraud: We run checks on claims submitted by our members, and build new ways of preventing fraud attempts. You investigate suspicious claims, prevent fraudulent payments or recover when we paid fraudulent claims. Set up:  We provide best-in-class experience to our Customers : a smooth on/offboarding of their employees and a seamless invoicing or billing. To do so, we continuously control & improve the quality of our processes : ensuring we have consistent information for invoicing, unlocking employee invite/removals in case of issue and supporting admin in case of payment issue or bankruptcy. Note: We look for profiles able to embrace any challenge and jump in any pool ! Depending on Alan needs (and personal interests), an Operations Expert will join in a pool and  can change and explore new scopes after some time. Do not hesitate to ask more concrete examples to the Operations Team Members you’ll meet during the process so they can share about their own scope. ⭐️ EXPERIENCE ⭐️ For this opportunity, we are aiming to hire within the A2-B1 level range https://alan.com/en/careers/a/salary-equity. Since the scope of our Ops Expert role is extremely varied, we are open to candidates from different backgrounds : you could be a good fit for the Operations team at Alan if, for example, you: - Operated processes and services especially for companies during the scale up stage or in industrial/logistic industries - Worked in Support functions (Customer Support, People Operations etc) - Had a Customer facing Commercial experience, e.g. account manager or Customer Success Communications, such as Social Media, Internal/ External Communications - Handled event coordination ⭐️ SKILLS ⭐️ - Passionate about delivering & optimizing top notch operations: not scared to get your hands dirty to get into technical processes, making them clear and delightful for our operators and members - A keen problem-solver and challenger with a dig deep mindset: what drives you is member and customer satisfaction ! - Analytics skills, to be able to dive into our data - Highly organised with exceptional follow-up skills, with strong attention to details - Strong and structured in written and verbal communication in English as well as in French or Dutch - Able to work and learn independently in a fast-paced environment - Adaptable: you show flexibility and a strong ability to adapt to variable situations - It’s even better if you have experience in the insurance or the healthcare industry 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canadian EST time zones only. Senior Software Engineer - Session Replay The Opportunity: The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong. Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues. This team works at the intersection of: frontend observability, backend data processing and storage at scale, debugging workflows across products, privacy and access control, performance and cost constraints at scale. Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What You’ll Be Doing: As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will: Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems Drive the evolution of our backend architecture, including: Designing systems around columnar/analytical data storage for large-scale session data Defining data models, ingestion pipelines, and query patterns Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud Make high-leverage architectural decisions that impact multiple teams and products Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences Engage directly with customers - joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully. Improve engineering standards, patterns, and operational practices within the team Mentor engineers and help grow technical leadership within the team Technologies you'll work with: Go (backend services and APIs) Columnar/Analytical data storage (core data storage and querying) Object storage (S3, GCS, Azure Blob Storage) and MySQL TypeScript / React (user-facing workflows) Grafana ecosystem (Mimir, Loki, Tempo, etc.) We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: You are comfortable working in a remote-first company ; communication is key. For us, working together means being collaborative, friendly, kind, and respectful . We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English. Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs) You are comfortable owning features in ambiguous problem spaces . We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial. You have a good understanding of a software development process that takes a user-centered approach . You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value. You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation. You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: Experience with columnar/analytical databases Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.). Experience building debugging or developer-focused tools. Familiarity with privacy, security, and access control in data-heavy systems Experience working on performance-sensitive systems (large datasets, real-time queries, session data) Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 164,490 -  CAD 197,389 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the USA EST time zones only . Senior Software Engineer - Session Replay The Opportunity: The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong. Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues. This team works at the intersection of: frontend observability, backend data processing and storage at scale, debugging workflows across products, privacy and access control, performance and cost constraints at scale. Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What You’ll Be Doing: As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will: Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems Drive the evolution of our backend architecture, including: Designing systems around columnar/analytical data storage for large-scale session data Defining data models, ingestion pipelines, and query patterns Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud Make high-leverage architectural decisions that impact multiple teams and products Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences Engage directly with customers - joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully. Improve engineering standards, patterns, and operational practices within the team Mentor engineers and help grow technical leadership within the team Technologies you'll work with: Go (backend services and APIs) Columnar/Analytical data storage (core data storage and querying) Object storage (S3, GCS, Azure Blob Storage) and MySQL TypeScript / React (user-facing workflows) Grafana ecosystem (Mimir, Loki, Tempo, etc.) We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: You are comfortable working in a remote-first company ; communication is key. For us, working together means being collaborative, friendly, kind, and respectful . We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English. Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs) You are comfortable owning features in ambiguous problem spaces . We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial. You have a good understanding of a software development process that takes a user-centered approach . You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value. You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation. You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: Experience with columnar/analytical databases Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.). Experience building debugging or developer-focused tools. Familiarity with privacy, security, and access control in data-heavy systems Experience working on performance-sensitive systems (large datasets, real-time queries, session data) Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,445 -  USD 185,334 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .